全双工大规模MIMO ISCC网络的性能分析与感知感知资源分配
Performance Analysis and Sensing-Aware Resource Allocation for Full-Duplex Massive MIMO ISCC Networks
浏览论文内容
中文总结 AI 辅助
本文针对全双工大规模MIMO ISCC网络，联合优化卸载比例、发射功率与计算资源，提出逐次凸近似算法，可降低雷达发射功率与任务延迟。
中文摘要 AI 辅助
新兴边缘应用必须在严格的延迟预算内感知环境并处理数据。全双工（FD）集成感知、通信与计算（ISCC）可同时支持这些功能，但雷达探测会干扰上行链路接收，而用户传输会降低目标估计性能。这些耦合效应要求联合做出感知与卸载决策。本文研究一种FD大规模多输入多输出（mMIMO）ISCC网络，其中用户将部分任务卸载至边缘服务器，同时接入点探测目标。针对信道估计不完美时的迫零上行链路接收，在给定干扰和波束对准假设下，推导了可处理的速率界与目标角度克拉美罗下界（CRLBs）。随后联合优化卸载比例、用户与雷达发射功率及边缘计算资源，以最小化平均端到端任务延迟，约束条件包括感知精度、通信速率、能量、截止期限及资源限制。开发了一种逐次凸近似算法，以高效求解所得非凸问题。分析表明，更大的天线阵列可提升感知与上行链路性能，但当用户功率随阵列尺寸缩小而降低时，残留雷达干扰会形成有限的速率上限。仿真结果显示，在-40 dB CRLB阈值下，联合分配相较于通信用户功率均等分配可降低约86%的雷达发射功率，且与固定分配和半双工方案相比，延迟更低。
英文摘要
Emerging edge applications must sense their environment and process data within tight latency budgets. Full-duplex (FD) integrated sensing, communication, and computing (ISCC) supports these functions concurrently, but radar probing interferes with uplink reception while user transmissions degrade target estimation. These coupled effects call for joint sensing and offloading decisions. We investigate a FD massive multiple-input multiple-output (mMIMO) ISCC network in which users partially offload tasks to an edge server while an access point probes a target. For zero-forcing uplink reception with imperfect channel estimates, we derive a tractable rate bound and target-angle Cramer-Rao lower bounds (CRLBs) under the stated interference and beam-alignment assumptions. We then jointly optimize offloading fractions, user and radar transmit powers, and edge computing resources to minimize average end-to-end task latency subject to sensing-accuracy, communication-rate, energy, deadline, and resource constraints. A successive convex approximation algorithm is developed to efficiently address the resulting nonconvex problem. The analysis shows that larger arrays improve sensing and uplink performance, but residual radar interference creates a finite rate ceiling when user powers scale down with array size. Simulation results show joint allocation reduces radar transmit power by approximately 86% relative to equal communication-user power at a -40 dB CRLB threshold and lowers latency compared with fixed-allocation and half-duplex schemes.
发表机构
- VinUniversity（文大学）
- University of Oulu（奥卢大学）
- Trinity College Dublin（都柏林三一学院）
- University of Luxembourg（卢森堡大学）
机构由 AI 辅助整理，请以论文原文为准。
